Skip to content
You are not logged in |Login  
     
Limit search to available items
Book Cover
Bestseller
BestsellerE-Book
Author Knotzer, Nicolas. Author.

Title Product Recommendations in E-Commerce Retailing Applications / Nicolas Knotzer.

Publication Info. Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, [2018]
©2008

Copies

Location Call No. Status
 All Libraries - Shared Downloadable Materials  JSTOR Open Access Ebook    Downloadable
All patrons click here to access this title from JSTOR
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK JSTOR    Downloadable
Please click here to access this JSTOR resource
Edition 1st, New ed.
Description 1 online resource.
Series Forschungsergebnisse der Wirtschaftsuniversität Wien ; 17
Thesis Doctoral Thesis.
Contents Classification and application models of recommender systems - Business goals - The consumer decision process - Virtual communities and network effects - Consumer-generated content (product reviews) - Functional aspects of recommender systems - Design aspects - Personalized and non-personalized recommendation methods - Research model and hypothesis - Influence of psychographic and sociodemographic determinants on the interest in personalized recommendations.
Summary The book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitative research study investigates the influence of psychographic and sociodemographic determinants on the interest of consumers in personalized online book recommendations. The author presents new findings regarding the interest in recommendations, importance of product reviews for the decision process, motives for submitting ratings as well as comments, and the delivery of recommendations. The results show that opinion seeking, opinion leading, domain specific innovativeness, online shopping experience, and age are important factors in respect of the interest in personalized recommendations.
Biography The Author: Nicolas Knotzer studied business administration with the focus on information systems, management control and project management. From 2001 to 2006 he joined the Institute for Management Information Systems at the Vienna University of Economics and Business Administration. The author received his doctoral degree in 2006.
Note Online resource; title from title screen (viewed December 28, 2018).
GMD: electronic resource.
Subject Electronic commerce.
Recommender systems (Information filtering)
Internet marketing.
Other Form: Print version: 9783631566220
Standard No. 9783631754528
10.3726/b13971 doi
ISBN 9783631754528 (electronic bk.)
3631754523 (electronic bk.)
-->
Add a Review